Associated modeling data & materials for manuscript: Observing the evolution of the Sun's global coronal magnetic field over eight months

This archive contains the magnetohydrodynamic (MHD) modeling materials associated with the manuscript:

"Observing the evolution of the Sun’s global coronal magnetic field over eight months"

by Zihao Yang, Hui Tian, Steven Tomczyk, Xianyu Liu, Sarah Gibson,Richard Morton, and Cooper Downs

Science, 386(6717), 76-82, 2024, DOI: 10.1126/science.ado2993

This archive is intended for transparency and reproduceability purposes. It contains the MHD model source code, run inputs, run outputs, and example python scripts for working with the model data.

# ContentsThe subfolders are organized as follows:

### sourceThis folder contains the the high-performance MHD code "Magnetohydrodynamic Algorithm outside a Sphere" (MAS) and associated files. MAS is written in Fortran. The dependencies are very straightforward. See `README_MAS.txt` and the associated Makefile for compilation instructions.

### runsThis folder contains the three MHD model runs that are described in the manuscript. See `README_Runs.txt` for more information on the inputs and outputs. Each folder contains all files required for recreating the run.

### scriptsThis folder contains some example python scripts that illustrate how to read the model data files. This includes an example that will convert the raw 3D data to physical units and place all variables on a common, non-staggered mesh. See `README_Scripts.txt` for more information.

# Additional NotesMAS is developed and maintained by Predictive Science Inc. (PSI) in San Diego California.

The version of MAS in the source folder is not the most recent version. It is the exact version of MAS from the main branch that was used for MHDweb CORHEL runs circa 2022 when similar runs were first posted to PSI's website. For this reason, we used this exact version of MAS for the runs described in the manuscript. As such, MAS is licensed here using the Creative Commons  Attribution-NonCommercial-NoDerivatives 4.0 International license. Please see the LICENSE file or visit https://creativecommons.org/licenses/by-nc-nd/4.0/ for details.  

We are currently working on a project that includes a public, open source release of MAS on GitHub, which will be licensed appropriately. This archive is not intended for that purpose.

If you have questions, concerns, or issues installing or running this code for reproduceability purposes, please contact Cooper Downs .